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A Practical Guide to Quantum Machine Learning and Quantum Optimization

You're reading from  A Practical Guide to Quantum Machine Learning and Quantum Optimization

Product type Book
Published in Mar 2023
Publisher Packt
ISBN-13 9781804613832
Pages 680 pages
Edition 1st Edition
Languages
Authors (2):
Elías F. Combarro Elías F. Combarro
Profile icon Elías F. Combarro
Samuel González-Castillo Samuel González-Castillo
Profile icon Samuel González-Castillo
View More author details

Table of Contents (27) Chapters

Preface Part I: I, for One, Welcome our New Quantum Overlords
Chapter 1: Foundations of Quantum Computing Chapter 2: The Tools of the Trade in Quantum Computing Part II: When Time is Gold: Tools for Quantum Optimization
Chapter 3: Working with Quadratic Unconstrained Binary Optimization Problems Chapter 4: Adiabatic Quantum Computing and Quantum Annealing Chapter 5: QAOA: Quantum Approximate Optimization Algorithm Chapter 6: GAS: Grover Adaptive Search Chapter 7: VQE: Variational Quantum Eigensolver Part III: A Match Made in Heaven: Quantum Machine Learning
Chapter 8: What Is Quantum Machine Learning? Chapter 9: Quantum Support Vector Machines Chapter 10: Quantum Neural Networks Chapter 11: The Best of Both Worlds: Hybrid Architectures Chapter 12: Quantum Generative Adversarial Networks Part IV: Afterword and Appendices
Chapter 13: Afterword: The Future of Quantum Computing
Assessments Bibliography
Index
Other Books You May Enjoy Appendix A: Complex Numbers
Appendix B: Basic Linear Algebra Appendix C: Computational Complexity Appendix D: Installing the Tools Appendix E: Production Notes

Appendix D
Installing the Tools

Man is a tool-using animal. Without tools he is nothing, with tools he is all.
— Thomas Carlyle

In this appendix, we will give you all the instructions needed to run the code examples provided in the main text. We will start by guiding you through the process of installing the software that we will use, then we will learn how to access the real quantum computers on which we will run our code, and finally, we will also show you how to accelerate some of the executions by using a GPU.

D.1 Getting Python

All the quantum programming libraries that we use in this book are based on Python, so you need to have a working Python distribution. If your operating system is Linux or macOS, you probably have one already. If your Python version is at least 3.7, then you are ready to go.

However, even if you already have Python installed on your system, we recommend that you consider following one of these two options:

  • Installing Anaconda: Anaconda is a data...

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